Data & Analytics
Data agent skills make AI agents useful for data work: writing SQL, cleaning datasets, building pipelines, working with spreadsheets, and producing analyses. Each skill is a reviewed SKILL.md file that teaches the agent one workflow well, ready to install in seconds.
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lord1egypt Bundle Vaex 2Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
2 - lord1egypt Bundle Flowio 2
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
2 - lord1egypt Bundle Polars 2
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
2 - lord1egypt Bundle Seaborn 2
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
2 - lord1egypt Bundle Parallel Web 2
All-in-one web toolkit powered by parallel-cli, with a strong emphasis on academic and scientific sources. Use this skill whenever the user needs to search the web, fetch/extract URL content, enrich data with web-sourced fields, or run deep research reports. Covers: web search (fast lookups, research, current info — prioritizing peer-reviewed papers, preprints, and scholarly databases), URL extraction (fetching pages, articles, academic PDFs), bulk data enrichment (adding fields to CSV/lists from the web), and deep research (exhaustive multi-source reports grounded in academic literature). Also handles setup, status checks, and result retrieval. Use this skill for ANY web-related task — even if the user doesn't mention 'parallel' or 'web' explicitly. If they want to look something up, fetch a page, enrich a dataset, investigate a topic, find academic papers, check citations, or review scientific literature, this is the skill to use.
2 - lord1egypt Bundle Optimize For Gpu 2
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics simulation, differentiable rendering, mesh ray casting, particle systems (DEM/SPH/fluids), vector/similarity search, GPUDirect Storage file IO, interactive dashboards, geospatial analysis, medical imaging, and sparse eigensolvers. Also use when you see CPU-bound Python code (loops, large arrays, ML pipelines, graph analytics, image processing) that would benefit from GPU acceleration, even if not explicitly requested.
2 - lord1egypt Skill Omics Integration 2
Multi-omics data integration using MOFA+, DIABLO, and MixOmics for combining genomics, transcriptomics, proteomics, metabolomics, and epigenomics datasets. Use for identifying shared variation across omics layers, building integrative biomarker models, and discovering cross-modal biological patterns. Best for paired multi-omics cohort studies.
2 - lord1egypt Bundle Benchling Integration 2
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
2 - lord1egypt Skill Pandas Data Wrangling 2
Cleaning, filtering, merging, and aggregating massive tabular data structures using Pandas.
2 - lord1egypt Bundle Clinical Decision Support 2
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
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rudironsoni Skill Dotnet Testing Advanced Testcontainers Database 2Specialized skill for containerized database testing using Testcontainers. Use when testing real database behavior, using SQL Server/PostgreSQL/MySQL containers, testing EF Core/Dapper. Covers container startup, database migrations, test isolation, container sharing. Keywords: testcontainers, container testing, database testing, MsSqlContainer, PostgreSqlContainer, MySqlContainer, EF Core testing, Dapper testing, Testcontainers.MsSql, Testcontainers.PostgreSql, GetConnectionString, IAsyncLifetime, CollectionFixture
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holobiomicslab Skill Metabolomics Feature Table Curation 2Use when you have a raw feature table (TSV/CSV) derived from LC-MS peak detection (e.
- holobiomicslab Skill Targeted Peak Extraction Ms1 2
Use when you have raw MS data in a supported instrument format (Agilent .d, Thermo .raw, Bruker .d, mzML) and a predefined list of molecular targets (CSV with m/z and/or retention time) that you need to quantify.
- holobiomicslab Skill Cross Software Feature Matching 2
Use when you have collected feature lists in CSV format from two or more MS acquisition methods (e.g., LC-MS vs. LC-IMS-MS), processing software packages (e.g., vendor-specific vs. open-source), or instrument platforms (e.
- holobiomicslab Skill Retention Time Prediction Optimization 3
Use when when you have a retention-time dataset (e.g., SMRT or Eawag_XBridgeC18_364) in .xlsx format and need to train or adapt a graph neural network model to predict chromatographic retention times for new compounds.
- holobiomicslab Skill Multi Sample Cohort Assessment 2
Use when when you have MS1 mass spectrometry data from multiple samples (a cohort) acquired across an instrument run or batch, and you need to identify which samples deviate from cohort norms or which ion targets show anomalous behavior.
- holobiomicslab Skill Target List Coordinate Mapping 2
Use when you have a CSV-formatted target list with m/z, retention time, or ion mobility identifiers and need to locate and extract peak abundances from raw MS data files (Agilent .d, Thermo .raw, Bruker .d, mzML) acquired across LC-MS, LC-IMS-MS, DDA, DIA, or direct infusion modes.
- holobiomicslab Skill Missing Value Imputation In Quantification Tables 2
Use when after feature alignment across multiple LC-MS/MS runs, when the unified feature list contains zeros or nulls for specific feature–sample pairs because peaks were not detected in those individual runs, but the feature was detected in other samples in the cohort.
- holobiomicslab Skill Chemical Name Normalization And Publish Database Integra 2
Use when after spreadOut() has converted raw CSV peak data into a structured list, when you have one or more Compound.Name entries from GC-MS that may be ambiguous, non-canonical, or missing standardized properties (exact mass, published retention times, reactive groups, database presence).
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netvar1337 Skill Functions 2Use as the idasql SQL function reference catalog (signatures, params, examples).
- netvar1337 Bundle Idapython 2
Use when SQL is insufficient and direct IDA SDK access via Python is needed.
- netvar1337 Bundle Pentest Tools 2
主动渗透测试工具链。覆盖信息收集、端口扫描、漏洞扫描、Web 渗透、SQL 注入、目录爆破、密码破解等场景。 通过 MCP server（pentestMCP / mcp-security-hub）将 20+ 安全工具暴露给 AI agent。 触发关键词：渗透测试、端口扫描、Nmap、漏洞扫描、Nuclei、SQL 注入、SQLMap、目录爆破、FFUF、密码破解、Hashcat、信息收集、子域名、Web 渗透、ZAP、Burp。
- holobiomicslab Skill Metabolomic Feature Alignment 2
Use when you have two or more CSV feature tables from independent metabolomic experiments (each with RT, m/z, intensity, isotope, and adduct columns), and you need to merge them into a single aligned feature matrix for downstream batch effect removal, marker identification, or pathway analysis.
- holobiomicslab Skill Xcms Workflow Execution 2
Use when you have raw LC-MS data files (mzML, netCDF, or raw vendor formats) from multiple samples and need to extract, align, and quantify chromatographic features across the cohort.
- holobiomicslab Skill R Data Structure Conversion 2
Use when you have preprocessed MSI data in Cardinal format (post-peakBin) and need to apply mass2adduct's adduct-detection workflow, OR you have exported MSI intensity data as CSV from third-party software (SCiLS, MSiReader) and must convert it into a standardized R object for downstream analysis.
- holobiomicslab Skill Nmr Metabolomic Quality Control Reporting 3
Use when you have uploaded a pre-analytical data table containing sample metadata, processing delay timestamps (pre- and post-centrifugation), and NMR metabolomic measurements for a cohort of plasma or serum samples, and you need to assess how processing delays affect metabolite concentrations and.
- holobiomicslab Skill Linear Score Calculation From Coefficients 2
Use when when you have 1H-NMR metabolite measurements from Nightingale Health assayed on a new cohort and wish to compute risk scores (e.g., all-cause mortality, cardiovascular event, type 2 diabetes) using published metabolic biomarker weights from a reference study.
- holobiomicslab Skill Published Metabolic Profile Implementation 2
Use when you have Nightingale Health 1H-NMR metabolomics measurements for a new cohort and wish to compute one or more established metabolic risk scores (mortality, MetaboAge, cardiovascular event, type-2 diabetes, COVID-19 severity) without recalibration.
- holobiomicslab Skill Comparative Omics Report Generation 2
Use when when you have feature lists (in CSV format) from two or more different MS acquisition methods (e.g., LC-MS vs. LC-IMS-MS), different processing software (e.
- holobiomicslab Skill Msi Data Matrix Import And Validation 2
Use when you have MSI intensity data exported from MSiReader, SCiLS, or Cardinal as plain-text CSV files or as Cardinal MSProcessedImagingExperiment/MSContinuousImagingExperiment objects, and need to load it into R as a validated msimat object for mass difference and adduct analysis.
- holobiomicslab Skill Peak Detection And Mass Alignment 2
Use when when you have raw LC-MS/MS data files (.mzML, .raw, or vendor formats) from multiple samples and need to identify reproducible molecular features across the cohort before annotation or statistical analysis.
- holobiomicslab Skill Multiformat Data Export To PDF CSV 2
Use when you have raw MS data in vendor formats (Agilent .d, Thermo .raw, Bruker .
- netvar1337 Bundle Sqlmap Advanced 2
sqlmap 高级用法完整参考。当确认存在 SQL 注入需要用 sqlmap 自动化利用时使用。覆盖 POST/Cookie/Header 注入、tamper 脚本选择、--technique 精确控制、二次注入、OS shell/文件读写、数据库提取优化
- netvar1337 Bundle Sqlserver Attack 2
SQL Server 渗透测试与利用。当发现目标开放 1433 端口、SQL Server 允许远程连接（SA 弱口令）、需要从数据库提取数据或实现命令执行时使用。覆盖未授权访问、数据库枚举与导出、xp_cmdshell 命令执行、sp_OACreate COM 对象利用、BULK INSERT 文件读取、Linked Server 横向移动、SQL Agent Job 持久化、存储过程利用、用户创建与提权
- netvar1337 Bundle Postgresql Attack 2
PostgreSQL 渗透测试与利用。当发现目标开放 5432 端口、PostgreSQL 允许远程连接、需要从数据库提取数据或实现命令执行时使用。覆盖未授权访问、数据库枚举与导出、用户凭据提取（pg_authid 哈希）、SQL 注入变体、文件读取（pg_read_file/COPY）、命令执行（COPY TO PROGRAM）、权限提升（SUPERUSER）、Large Object 滥用、扩展利用（file_fdw/plpython）
- netvar1337 Bundle SQL Injection Methodology 2
SQL注入检测、利用、绕过的完整方法论。当目标有表单提交、登录页面、搜索功能、数据查询接口时使用。包含POST参数完整性检查、EXTRACTVALUE截断陷阱、UNION/报错/盲注/sqlmap全流程
Frequently asked questions
What are Data & Analytics agent skills?
Data agent skills make AI agents useful for data work: writing SQL, cleaning datasets, building pipelines, working with spreadsheets, and producing analyses. Each skill is a reviewed SKILL.md file that teaches the agent one workflow well, ready to install in seconds.
Which Data & Analytics skills are most installed?
Popular Data & Analytics skills on SkillMD right now include vaex, flowio, polars. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do Data & Analytics skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.